[1] Rose A. The sensitivity performance of the human eye on an absolute scale[J]. JOSA, 1948, 38(2): 196-208. [2] Watts R, Wang Y, Winchester P A, et al. Rose model in MRI: Noise limitations on spatial resolution and implications for contrast enhanced MR angiography[C]//Proceedings of the 19th Annual Scientific Meeting of the Society of Magnetic Resonance in Medicine. Denvers, Color: Society of Magnetic Resonance in Medicine. 2000: 462. [3] Pelli D G, Farell B. Why use noise?[J]. JOSA A, 1999, 16(3): 647-653. [4] Godard P, Allain M, Chamard V, et al. Noise models for low counting rate coherent diffraction imaging[J]. Optics Express, 2012, 20(23): 25 914-25 934. [5] Gao Hongyi, Chen Jianwen, Lu Peixiang, et al. Soft X-ray microscopy[J]. Chinese Journal of Nature, 2001, 23(1): 33-39. 高鸿奕, 陈建文, 陆培祥, 等. 软X 射线显微术[J]. 自然杂志, 2001, 23(1): 33-39. [6] Xie Xingshu. Soft X-ray microimaging using synchrotron radiation[J]. Physics Experimentation, 2001, 21(11): 3-6. 谢行恕. 同步辐射软 X 射线显微成像[J]. 物理实验, 2001, 21(11): 3-6. [7] Michel T, Anton G, Bhnel M, et al. A fundamental method to determine the signal-to-noise ratio (SNR) and detective quantum efficiency (DQE) for a photon counting pixel detector[J]. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2006, 568(2): 799-802. [8] Wagner R F, Brown D G. Unified SNR analysis of medical imaging systems[J]. Physics in Medicine and Biology, 1985, 30(6): 489. [9] Zhang Y, Ning R. Investigation of image noise in cone-beam CT imaging due to photon counting statistics with the Feldkamp algorithm by computer simulations[J]. Journal of X-ray Science and Technology, 2008, 16(2): 143-158. [10] Cunningham I A, Shaw R. Signal-to-noise optimization of medical imaging systems[J]. JOSA A, 1999, 16(3): 621-632. [11] Wunderlich A, Noo F. Evaluation of image noise in fan-beam X-ray computed tomography[C]// 30th Annual International IEEE EMBS Conference. IEEE, 2008: 2 713-2 716. [12] Seitz P, Muller A, Ruegsegger P. The influence of photon counting statistics on picture noise and reproducibility in quantitative computed tomography[J]. IEEE Transactions on Nuclear Science, 1985, 32(1): 1 162-1 168. [13] Bennett K E, Byer R L. Fan-beam-tomography noise theory[J]. JOSA A, 1986, 3(5): 624-633. [14] Badulescu P, Zacin R. A two-state switched-median filter[C]// International Semiconductor Conference, 2000(CAS 2000 Proceedings). IEEE, 2000, 1: 289-292. [15] Wang Z, Zhang D. Progressive switching median filter for the removal of impulse noise from highly corrupted images[J]. IEEE Transactions on Circuits and Systems Ⅱ: Analog and Digital Signal Processing, 1999, 46(1): 78-80. [16] Abreu E, Lightstone M, Mitra S K, et al. A new efficient approach for the removal of impulse noise from highly corrupted images[J]. IEEE Transactions on Image Processing, 1996, 5(6): 1 012-1 025. [17] Frosio I, Borghese N A. Human Visual System modelling for real-time salt and pepper noise removal[M]//Biological and Artificial Intelligence Environments. Netherlands: Springer, 2005: 337-342. [18] Dahlbom M, Hoffman E J. Problems in signal-to-noise ratio for attenuation correction in high resolution PET[J]. IEEE Transactions on Nuclear Science, 1987, 34(1): 288-293. [19] Schade S R. Optical and photoelectric analog of the eye[J]. JOSA, 1956, 46(9): 721-738. [20] Edelstein W A, Glover G H, Hardy C J, et al. The intrinsic signal-to-noise ratio in NMR imaging[J]. Magnetic Resonance in Medicine, 1986, 3(4): 604-618. [21] Barlow H B. Retinal noise and absolute threshold[J]. JOSA, 1956, 46(8): 634-639. [22] Burgess A E. The Rose model, revisited[J]. JOSA A, 1999, 16(3): 633-646. [23] Pelli D G. Uncertainty explains many aspects of visual contrast detection and discrimination[J]. JOSA A, 1985, 2(9): 1 508-1 531. |